sdvae | Directed Variational Autoencoder that generates programs

by Hanjun-Dai Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | sdvae Summary

sdvae is a Python library. sdvae has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However sdvae build file is not available. You can download it from GitHub.

Syntax-Directed Variational Autoencoder for Structured Data (

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Quality

Security

License

Reuse

Support

sdvae has a low active ecosystem.

It has 65 star(s) with 13 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 4 have been closed. On average issues are closed in 17 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sdvae is current.

Quality

sdvae has no bugs reported.

Security

sdvae has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

sdvae is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

sdvae releases are not available. You will need to build from source code and install.

sdvae has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed sdvae and discovered the below as its top functions. This is intended to give you an instant insight into sdvae implemented functionality, and help decide if they suit your requirements.

Generate nb_stat
Evaluate a function at t
Evaluate a sequence of values at t
Tokenize the given string
Calculate the score of a molecule
Read the fragment scores from a gz file
Calculate the number of bridges and spiro bonds
Loop through a dataset
Get batch input
Process a single program list
Create a batch mask for each node
Decodes a model from latent space
Parses a text string
Evaluate the value at t
Evaluate the given parser
Reads the fragment scores from the file
Returns the contribution to energy distribution
Computes the logarithm of the model
Compute the PSI2 basis function
Parse smiles with a given grammar file
Parse a sentence
Compute the logarithm
Calculate the validation prior
Sample the index with the given mask
Compute the PSI model
Compute the loss function
Create a batch - mask for each node
Runs a single job

Get all kandi verified functions for this library.

sdvae Key Features

No Key Features are available at this moment for sdvae.

sdvae Examples and Code Snippets

No Code Snippets are available at this moment for sdvae.

Community Discussions

No Community Discussions are available at this moment for sdvae.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install sdvae

The current code depends on pytorch 0.3.1. Most of the python dependencies can be installed by pip. However, the bayesian optimizaiton depends on a customized build of Theano. Please follow the instruction in GrammarVAE (https://github.com/mkusner/grammarVAE):.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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